User Studies of Principled Model Finder Output

2017 ◽  
pp. 168-184 ◽  
Author(s):  
Natasha Danas ◽  
Tim Nelson ◽  
Lane Harrison ◽  
Shriram Krishnamurthi ◽  
Daniel J. Dougherty
Keyword(s):  
User Studies

ViFin

2021 ◽  
Vol 5 (1) ◽  
pp. 1-25
Author(s):  
Wenqiang Chen ◽  
Lin Chen ◽  
Meiyi Ma ◽  
Farshid Salemi Parizi ◽  
Shwetak Patel ◽  
...  
Keyword(s):  
Real Time ◽  
Real World ◽  
Wearable Devices ◽  
User Studies ◽  
Finger Movement ◽  
Writing System ◽  
Time System ◽  
Real Time System ◽  
Input Devices ◽  
A New Technique

Wearable devices, such as smartwatches and head-mounted devices (HMD), demand new input devices for a natural, subtle, and easy-to-use way to input commands and text. In this paper, we propose and investigate ViFin, a new technique for input commands and text entry, which harness finger movement induced vibration to track continuous micro finger-level writing with a commodity smartwatch. Inspired by the recurrent neural aligner and transfer learning, ViFin recognizes continuous finger writing, works across different users, and achieves an accuracy of 90% and 91% for recognizing numbers and letters, respectively. We quantify our approach's accuracy through real-time system experiments in different arm positions, writing speeds, and smartwatch position displacements. Finally, a real-time writing system and two user studies on real-world tasks are implemented and assessed.

A Re-examination of Dichoptic Tone Mapping

2021 ◽  
Vol 40 (2) ◽  
pp. 1-15
Author(s):  
Minqi Wang ◽  
Emily A. Cooper
Keyword(s):  
Virtual Reality ◽  
Visual System ◽  
Contrast Enhancement ◽  
User Studies ◽  
Objective Measures ◽  
Tone Mapping ◽  
Photographic Technique ◽  
Stereoscopic Displays ◽  
Visual Detail

Dichoptic tone mapping methods aim to leverage stereoscopic displays to increase visual detail and contrast in images and videos. These methods, which have been called both binocular tone mapping and dichoptic contrast enhancement , selectively emphasize contrast differently in the two eyes’ views. The visual system integrates these contrast differences into a unified percept, which is theorized to contain more contrast overall than each eye’s view on its own. As stereoscopic displays become increasingly common for augmented and virtual reality (AR/VR), dichoptic tone mapping is an appealing technique for imaging pipelines. We sought to examine whether a standard photographic technique, exposure bracketing, could be modified to enhance contrast similarly to dichoptic tone mapping. While assessing the efficacy of this technique with user studies, we also re-evaluated existing dichoptic tone mapping methods. Across several user studies; however, we did not find evidence that either dichoptic tone mapping or dichoptic exposures consistently increased subjective image preferences. We also did not observe improvements in subjective or objective measures of detail visibility. We did find evidence that dichoptic methods enhanced subjective 3D impressions. Here, we present these results and evaluate the potential contributions and current limitations of dichoptic methods for applications in stereoscopic displays.

scholarly journals Breaking The Experience: Effects of Questionnaires in VR User Studies

2020 ◽  
Author(s):  
Susanne Putze ◽  
Dmitry Alexandrovsky ◽  
Felix Putze ◽  
Sebastian Höffner ◽  
Jan David Smeddinck ◽  
...  
Keyword(s):  
User Studies ◽  
Experience Effects

scholarly journals Animation Techniques in Human-Robot Interaction User Studies

2019 ◽  
Vol 8 (2) ◽  
pp. 1-22 ◽  
Author(s):  
Trenton Schulz ◽  
Jim Torresen ◽  
Jo Herstad
Keyword(s):  
Human Robot Interaction ◽  
User Studies ◽  
Robot Interaction

scholarly journals Laban-Inspired Task-Constrained Variable Motion Generation on Expressive Aerial Robots

Robotics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 24 ◽  
Author(s):  
Hang Cui ◽  
Catherine Maguire ◽  
Amy LaViers
Keyword(s):  
Qualitative Analysis ◽  
User Studies ◽  
Motion Generation ◽  
Task Constraints ◽  
Aerial Robots ◽  
Movement Observation ◽  
Close Study ◽  
Movement System ◽  
Motion Profile ◽  
Algorithmic Procedure

This paper presents a method for creating expressive aerial robots through an algorithmic procedure for creating variable motion under given task constraints. This work is informed by the close study of the Laban/Bartenieff movement system, and movement observation from this discipline will provide important analysis of the method, offering descriptive words and fitting contexts—a choreographic frame—for the motion styles produced. User studies that use utilize this qualitative analysis then validate that the method can be used to generate appropriate motion in in-home contexts. The accuracy of an individual descriptive word for the developed motion is up to 77% and context accuracy is up to 83%. A capacity for state discernment from motion profile is essential in the context of projects working toward developing in-home robots.

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